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EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning

13 March 2025

Simone Magistri

Tomaso Trinci

Albin Soutif--Cormerais

Joost van de Weijer

Andrew D. Bagdanov

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Papers citing "EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning"

46 / 46 papers shown

Title
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning Simone Magistri Tomaso Trinci Albin Soutif--Cormerais Joost van de Weijer Andrew D. Bagdanov 108 24 0 06 Feb 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning Chenyang Wang Junjun Jiang Xingyu Hu Xianming Liu Xiangyang Ji 110 5 0 12 Jan 2024
Continual Learning: Applications and the Road Forward Eli Verwimp Rahaf Aljundi Shai Ben-David Matthias Bethge Andrea Cossu ... Joost van de Weijer Bing Liu Vincenzo Lomonaco Tinne Tuytelaars Gido M. van de Ven CLL 114 47 0 20 Nov 2023
Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning Shruthi Gowda Bahram Zonooz Elahe Arani 59 3 0 17 Oct 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning Dipam Goswami Yuyang Liu Bartlomiej Twardowski Joost van de Weijer CLL 91 61 0 25 Sep 2023
A Comprehensive Empirical Evaluation on Online Continual Learning Albin Soutif--Cormerais Antonio Carta Andrea Cossu J. Hurtado Hamed Hemati Vincenzo Lomonaco Joost van de Weijer CLL 83 21 0 20 Aug 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 219 708 0 31 Jan 2023
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning Grégoire Petit Adrian Daniel Popescu Hugo Schindler David Picard Bertrand Delezoide CLL 81 123 0 23 Nov 2022
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal Yaqian Zhang Bernhard Pfahringer E. Frank Albert Bifet N. Lim Yunzhe Jia CLL 181 44 0 28 Sep 2022
Continual evaluation for lifelong learning: Identifying the stability gap Matthias De Lange Gido M. van de Ven Tinne Tuytelaars CLL 167 42 0 26 May 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning Da-Wei Zhou Qiwen Wang Han-Jia Ye De-Chuan Zhan 80 138 0 26 May 2022
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation Minsoo Kang Jaeyoo Park Bohyung Han CLL 103 188 0 02 Apr 2022
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning Mohammad-Javad Davari Nader Asadi Sudhir Mudur Rahaf Aljundi Eugene Belilovsky CLL KELM 60 76 0 24 Mar 2022
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning Qiankun Gao Chen Zhao Guohao Li Jian Zhang CLL 67 70 0 24 Mar 2022
Class-Incremental Continual Learning into the eXtended DER-verse Matteo Boschini Lorenzo Bonicelli Pietro Buzzega Angelo Porrello Simone Calderara CLL BDL 109 142 0 03 Jan 2022
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning James Smith Yen-Chang Hsu John C. Balloch Yilin Shen Hongxia Jin Z. Kira CLL 106 169 0 17 Jun 2021
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks Khadija Shaheen Muhammad Abdullah Hanif Osman Hasan Mohamed Bennai CLL 84 93 0 26 May 2021
Model-centric Data Manifold: the Data Through the Eyes of the Model Luca Grementieri R. Fioresi 92 9 0 26 Apr 2021
DER: Dynamically Expandable Representation for Class Incremental Learning Shipeng Yan Jiangwei Xie Xuming He CLL 69 457 0 31 Mar 2021
EEC: Learning to Encode and Regenerate Images for Continual Learning Ali Ayub Alan R. Wagner CLL 111 59 0 13 Jan 2021
Class-incremental learning: survey and performance evaluation on image classification Marc Masana Xialei Liu Bartlomiej Twardowski Mikel Menta Andrew D. Bagdanov Joost van de Weijer CLL 83 699 0 28 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 696 41,681 0 22 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 105 220 0 10 Oct 2020
Generative Feature Replay For Class-Incremental Learning Xialei Liu Chenshen Wu Mikel Menta Luis Herranz Bogdan Raducanu Andrew D. Bagdanov Shangling Jui Joost van de Weijer CLL 64 156 0 20 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati Simone Calderara BDL CLL 89 928 0 15 Apr 2020
Semantic Drift Compensation for Class-Incremental Learning Lu Yu Bartlomiej Twardowski Xialei Liu Luis Herranz Kai Wang Yongmei Cheng Shangling Jui Joost van de Weijer CLL 95 345 0 01 Apr 2020
Online Continual Learning with Maximally Interfered Retrieval Rahaf Aljundi Lucas Caccia Eugene Belilovsky Massimo Caccia Min Lin Laurent Charlin Tinne Tuytelaars CLL 95 550 0 11 Aug 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 102 1,261 0 30 May 2019
Task-Free Continual Learning Rahaf Aljundi Klaas Kelchtermans Tinne Tuytelaars CLL 140 362 0 10 Dec 2018
DeeSIL: Deep-Shallow Incremental Learning Eden Belouadah Adrian Daniel Popescu CLL 98 73 0 20 Aug 2018
End-to-End Incremental Learning F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Cordelia Schmid Alahari Karteek CLL 97 1,161 0 25 Jul 2018
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting H. Ritter Aleksandar Botev David Barber BDL CLL 91 334 0 20 May 2018
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting Xialei Liu Marc Masana Luis Herranz Joost van de Weijer Antonio M. López Andrew D. Bagdanov CLL 108 280 0 08 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 119 1,147 0 30 Jan 2018
On Quadratic Penalties in Elastic Weight Consolidation Ferenc Huszár 69 102 0 11 Dec 2017
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 90 1,652 0 27 Nov 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 153 2,743 0 26 Jun 2017
Continual Learning with Deep Generative Replay Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim KELM CLL 91 2,089 0 24 May 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 376 7,602 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 182 3,787 0 23 Nov 2016
Less-forgetting Learning in Deep Neural Networks Heechul Jung Jeongwoo Ju Minju Jung Junmo Kim 116 229 0 01 Jul 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 321 4,449 0 29 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,819 0 10 Dec 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 367 19,784 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.2K 150,532 0 22 Dec 2014
New insights and perspectives on the natural gradient method James Martens ODL 176 631 0 03 Dec 2014